• DocumentCode
    2316344
  • Title

    Experiment setup for temporal distributed intrusion detection system on Amazon´s elastic compute cloud

  • Author

    Guilbault, Noah ; Guha, Ratan

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Univ. of Central Florida, Orlando, FL
  • fYear
    2009
  • fDate
    8-11 June 2009
  • Firstpage
    300
  • Lastpage
    302
  • Abstract
    In order to test the proposed distributed intrusion detection system there is a need for sufficient hardware and software in place as to provide a reasonable approximation of the actual conditions that such a system would expect to encounter if deployed in a live environment. These hardware and software requirements are compounded when attempting to test a distributed grid computing system because such systems typically can often scale to the hundreds or even thousands of computers. Even if sufficient hardware is obtainable, the generation of accurate test data accurately depicting normal patterns of network or Internet traffic can provide additional challenges, especially when the data is time sensitive. This paper demonstrates a method by which a distributed grid based IDS can be designed and implemented using virtual servers deployed on Amazon.com´s elastic compute cloud service.
  • Keywords
    Web services; grid computing; security of data; system monitoring; Amazon elastic compute cloud service; Internet traffic; experiment setup; grid computing; system monitoring; temporal distributed intrusion detection system; virtual server; Cloud computing; Distributed computing; Grid computing; Hardware; IP networks; Intrusion detection; Software testing; System testing; Telecommunication traffic; Test pattern generators; Grid Computing; IDS; Map/Reduce; Snort; component;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligence and Security Informatics, 2009. ISI '09. IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • Print_ISBN
    978-1-4244-4171-6
  • Electronic_ISBN
    978-1-4244-4173-0
  • Type

    conf

  • DOI
    10.1109/ISI.2009.5137329
  • Filename
    5137329